Difference between revisions of "Relational and non-relational databases"
From Gridkaschool
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<pre> |
<pre> |
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| + | import sys |
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| + | import random |
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import uuid |
import uuid |
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import time |
import time |
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| − | import sqlite3 |
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| − | import MySQLdb |
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| − | import MySQLdb.cursors |
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import psycopg2 |
import psycopg2 |
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| − | NR_OF_ROWS = |
+ | NR_OF_ROWS = 1000000 |
| − | |||
# connect to the database and set transaction level to autocommit |
# connect to the database and set transaction level to autocommit |
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| − | s_con = sqlite3.connect(database='/tmp/student.db', isolation_level='DEFERRED') # None, 'DEFERRED', 'IMMEDIATE', 'EXCLUSIVE' |
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| − | |||
| − | m_con = MySQLdb.connect(host='localhost', user='student', passwd='student', db='student', cursorclass = MySQLdb.cursors.SSCursor) |
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| − | m_con.autocommit(False) # True, False |
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| − | |||
p_con = psycopg2.connect('host=localhost user=student password=student dbname=student') |
p_con = psycopg2.connect('host=localhost user=student password=student dbname=student') |
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p_con.set_isolation_level(0) # 0 (AUTOCOMMIT), 1 (READ COMMIT), 3 (SERIALIZE) |
p_con.set_isolation_level(0) # 0 (AUTOCOMMIT), 1 (READ COMMIT), 3 (SERIALIZE) |
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| − | |||
# get cursor |
# get cursor |
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| − | s_cur = s_con.cursor() |
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| − | m_cur = m_con.cursor() |
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p_cur = p_con.cursor() |
p_cur = p_con.cursor() |
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| − | |||
# drop old tables if they exist, ignore otherwise |
# drop old tables if they exist, ignore otherwise |
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| − | try: s_cur.execute("DROP TABLE large_table") |
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| − | except: pass |
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| − | try: m_cur.execute("DROP TABLE large_table") |
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| − | except: pass |
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try: p_cur.execute("DROP TABLE large_table") |
try: p_cur.execute("DROP TABLE large_table") |
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except: pass |
except: pass |
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| + | # create table in autocommit mode |
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| + | p_cur.execute("CREATE TABLE large_table (l CHAR, s VARCHAR(255), n INTEGER)") |
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| + | # insert random data |
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| − | # create table |
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| − | s_cur.execute("CREATE TABLE large_table (id VARCHAR(255) PRIMARY KEY)") |
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| − | m_cur.execute("CREATE TABLE large_table (id VARCHAR(255) PRIMARY KEY) Engine=InnoDB") |
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| − | p_cur.execute("CREATE TABLE large_table (id VARCHAR(255) PRIMARY KEY)") |
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| − | p_con.set_isolation_level(1) |
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| − | |||
| − | # insert lots of rows and measure |
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| − | print 'sqlite:', |
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time_start = time.time() |
time_start = time.time() |
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| − | for i in xrange(NR_OF_ROWS): |
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| − | s_cur.execute("INSERT INTO large_table(id) VALUES (?)", (str(uuid.uuid4()),)) |
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| − | s_con.commit() |
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| − | print time.time()-time_start |
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| + | # TODO: INSERT NR_OF_ROWS FAST, USE THE FOLLOWING RANDOM DATA AS VALUES |
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| − | print 'mysql:', |
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| + | # l --> chr(random.randrange(65, 91)) |
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| − | time_start = time.time() |
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| − | for i in xrange( |
+ | # s --> ''.join([chr(random.randrange(65, 91)) for i in xrange(1,16)]) |
| + | # n --> random.randint(0,1000000) |
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| − | m_cur.execute("INSERT INTO large_table(id) VALUES (%s)", (str(uuid.uuid4()),)) |
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| − | m_con.commit() |
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| − | print time.time()-time_start |
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| − | print ' |
+ | print 'insert', time.time()-time_start |
| − | time_start = time.time() |
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| − | for i in xrange(NR_OF_ROWS): |
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| − | p_cur.execute("INSERT INTO large_table(id) VALUES (%s)", (str(uuid.uuid4()),)) |
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| − | p_con.commit() |
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| − | print time.time()-time_start |
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| − | # |
+ | # query plans |
| − | s_cur.execute("DROP TABLE large_table") |
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| − | m_cur.execute("DROP TABLE large_table") |
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| − | p_cur.execute("DROP TABLE large_table") |
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| + | p_cur.execute("ANALYZE large_table") |
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| + | # TODO: ANALYZE THE QUERY PLAN OF SOME QUERIES, SELECTING EVERYTHING, OR USING COMBINATIONS OF COLUMNS |
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| + | |||
| + | time_start = time.time() |
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| + | # TODO: CREATE AN INDEX |
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| + | print 'index', time.time()-time_start |
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| + | |||
| + | # TODO: ANALYZE THE QUERIES AGAIN |
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| + | |||
# close everything |
# close everything |
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| − | s_cur.close() |
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| − | m_cur.close() |
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p_cur.close() |
p_cur.close() |
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| − | |||
| − | s_con.close() |
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| − | m_con.close() |
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p_con.close() |
p_con.close() |
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| + | |||
</pre> |
</pre> |
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Revision as of 15:04, 27 August 2013
import sys
import random
import uuid
import time
import psycopg2
NR_OF_ROWS = 1000000
# connect to the database and set transaction level to autocommit
p_con = psycopg2.connect('host=localhost user=student password=student dbname=student')
p_con.set_isolation_level(0) # 0 (AUTOCOMMIT), 1 (READ COMMIT), 3 (SERIALIZE)
# get cursor
p_cur = p_con.cursor()
# drop old tables if they exist, ignore otherwise
try: p_cur.execute("DROP TABLE large_table")
except: pass
# create table in autocommit mode
p_cur.execute("CREATE TABLE large_table (l CHAR, s VARCHAR(255), n INTEGER)")
# insert random data
time_start = time.time()
# TODO: INSERT NR_OF_ROWS FAST, USE THE FOLLOWING RANDOM DATA AS VALUES
# l --> chr(random.randrange(65, 91))
# s --> ''.join([chr(random.randrange(65, 91)) for i in xrange(1,16)])
# n --> random.randint(0,1000000)
print 'insert', time.time()-time_start
# query plans
p_cur.execute("ANALYZE large_table")
# TODO: ANALYZE THE QUERY PLAN OF SOME QUERIES, SELECTING EVERYTHING, OR USING COMBINATIONS OF COLUMNS
time_start = time.time()
# TODO: CREATE AN INDEX
print 'index', time.time()-time_start
# TODO: ANALYZE THE QUERIES AGAIN
# close everything
p_cur.close()
p_con.close()
import uuid
import time
import sqlite3
import MySQLdb
import MySQLdb.cursors
import psycopg2
NR_OF_ROWS = 1000000
# connect to the database and set transaction level to autocommit
s_con = sqlite3.connect(database='/tmp/student.db', isolation_level=None) # None, 'DEFERRED', 'IMMEDIATE', 'EXCLUSIVE'
m_con = MySQLdb.connect(host='localhost', user='student', passwd='student', db='student', cursorclass = MySQLdb.cursors.SSCursor)
m_con.autocommit(True) # True, False
p_con = psycopg2.connect('host=localhost user=student password=student dbname=student')
p_con.set_isolation_level(0) # 0 (AUTOCOMMIT), 1 (READ COMMIT), 3 (SERIALIZE)
# get cursor
s_cur = s_con.cursor()
m_cur = m_con.cursor()
p_cur = p_con.cursor()
# drop old tables if they exist, ignore otherwise
try: s_cur.execute("DROP TABLE large_table")
except: pass
try: m_cur.execute("DROP TABLE large_table")
except: pass
try: p_cur.execute("DROP TABLE large_table")
except: pass
# create table
s_cur.execute("CREATE TABLE large_table (id VARCHAR(255) PRIMARY KEY)")
m_cur.execute("CREATE TABLE large_table (id VARCHAR(255) PRIMARY KEY) Engine=InnoDB")
p_cur.execute("CREATE TABLE large_table (id VARCHAR(255) PRIMARY KEY)")
# insert lots of rows and measure
print 'sqlite:',
time_start = time.time()
for i in xrange(NR_OF_ROWS):
pass # YOUR CODE HERE, USE str(uuid.uuid4())
print time.time()-time_start
print 'mysql:',
time_start = time.time()
for i in xrange(NR_OF_ROWS):
pass # YOUR CODE HERE, USE str(uuid.uuid4())
print time.time()-time_start
print 'postgresql:',
time_start = time.time()
for i in xrange(NR_OF_ROWS):
pass # YOUR CODE HERE, USE str(uuid.uuid4())
print time.time()-time_start
# drop table
s_cur.execute("DROP TABLE large_table")
m_cur.execute("DROP TABLE large_table")
p_cur.execute("DROP TABLE large_table")
# close everything
s_cur.close()
m_cur.close()
p_cur.close()
s_con.close()
m_con.close()
p_con.close()
import sqlite3
import MySQLdb
import MySQLdb.cursors
import psycopg2
# connect to the database and set transaction level to autocommit
s_con = sqlite3.connect(database='/tmp/student.db', isolation_level=None) # None, 'DEFERRED', 'IMMEDIATE', 'EXCLUSIVE'
m_con = MySQLdb.connect(host='localhost', user='student', passwd='student', db='student', cursorclass = MySQLdb.cursors.SSCursor)
m_con.autocommit(True) # True, False
p_con = psycopg2.connect('host=localhost user=student password=student dbname=student')
p_con.set_isolation_level(0) # 0 (AUTOCOMMIT), 1 (READ COMMIT), 3 (SERIALIZE)
# get cursor
s_cur = s_con.cursor()
m_cur = m_con.cursor()
p_cur = p_con.cursor()
# drop old tables if they exist, ignore otherwise
try: s_cur.execute("DROP TABLE test_table")
except: pass
try: m_cur.execute("DROP TABLE test_table")
except: pass
try: p_cur.execute("DROP TABLE test_table")
except: pass
# create table
s_cur.execute("CREATE TABLE test_table (id INTEGER PRIMARY KEY, value VARCHAR(255))")
m_cur.execute("CREATE TABLE test_table (id INTEGER PRIMARY KEY, value VARCHAR(255)) Engine=InnoDB")
p_cur.execute("CREATE TABLE test_table (id INTEGER PRIMARY KEY, value VARCHAR(255))")
# insert data
s_cur.execute("INSERT INTO test_table(id, value) VALUES (0, 'my first value')")
s_cur.execute("INSERT INTO test_table(id, value) VALUES (0, 'my second value')")
s_cur.execute("INSERT INTO test_table(id, value) VALUES (0, 'my second value')")
m_cur.execute("INSERT INTO test_table(id, value) VALUES (0, 'my first value')")
m_cur.execute("INSERT INTO test_table(id, value) VALUES (0, 'my second value')")
m_cur.execute("INSERT INTO test_table(id, value) VALUES (0, 'my second value')")
p_cur.execute("INSERT INTO test_table(id, value) VALUES (0, 'my first value')")
p_cur.execute("INSERT INTO test_table(id, value) VALUES (0, 'my second value')")
p_cur.execute("INSERT INTO test_table(id, value) VALUES (0, 'my second value')")
# selecting data (everything)
print 'sqlite'
s_cur.execute("SELECT id, value FROM test_table")
print s_cur.fetchall()
print 'mysql'
m_cur.execute("SELECT id, value FROM test_table")
print m_cur.fetchall()
print 'postgresql'
p_cur.execute("SELECT id, value FROM test_table")
print p_cur.fetchall()
# selecting data (iteratively)
print 'sqlite'
s_cur.execute("SELECT id, value FROM test_table")
for row in s_cur:
print row
print 'mysql'
m_cur.execute("SELECT id, value FROM test_table")
for row in m_cur:
print row
print 'postgresql'
p_cur.execute("SELECT id, value FROM test_table")
for row in p_cur:
print row
# close everything
s_cur.close()
m_cur.close()
p_cur.close()
s_con.close()
m_con.close()
p_con.close()
import sqlite3
import MySQLdb
import psycopg2
s_con = sqlite3.connect(database='/home/username/student.db')
m_con = MySQLdb.connect(host='localhost', user='student', passwd='student', db='student')
p_con = psycopg2.connect('host=localhost user=student password=student dbname=student')
s_con.close()
m_con.close()
p_con.close()
CREATE TABLE test_table (id integer, name varchar(255));
Hosts:
ssh <username>@<host>.scc.kit.edu -p24
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